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Journal articles on the topic 'Optimization and supply chain Management'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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1

Prafulla K Swain et al.,, Prafulla K. Swain et al ,. "Optimization Methods of Supply Chain Management." International Journal of Mechanical and Production Engineering Research and Development 10, no. 3 (2020): 9411–20. http://dx.doi.org/10.24247/ijmperdjun2020894.

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2

Park, Ji Seok, and Sunguk N. Jang. "Endoscopic Supply Chain Management and Optimization." Gastrointestinal Endoscopy Clinics of North America 31, no. 4 (October 2021): 671–79. http://dx.doi.org/10.1016/j.giec.2021.05.004.

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3

Patmond Mbhele, Thokozani. "Engineering patterns of supply chain optimization to manage oscillation effect." Problems and Perspectives in Management 15, no. 2 (June 8, 2017): 124–39. http://dx.doi.org/10.21511/ppm.15(2).2017.12.

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The cascading order variability from downstream trumping up the upstream site of the supply chain network indicates the deleterious effect to the performance of the fast moving consumer goods industry. The fundamental likelihood to optimization in this industry requires dexterous flows of quasi-real-time information, as well as reliable product availability. In this context, this study analyzes the challenges of bullwhip effect on the perspective of ingenious optimization strategies, and further contemplates to establish the engineering patterns of interrelationships on the magnitude of pooling the resources to advance supply chain capabilities. The suppression of bullwhip effect on underlying optimization strategies is sought to elevate accelerated responsiveness, improve network demand visibility and reduce volatility in frequencies to inventory replenishment. A rigorous and disciplined quantitative approach afforded the tentatively development of pattern of interrelated supply chain dimensions. The factor analysis method was used on 448 responses and insightful findings were produced from the compelling purposive sampling technique. The findings indicate that the magnitude of better ameliorating bullwhip effect, the value of competitive economic information and strength of selected optimization strategies depend on the model of unified engineering patterns. This paper provides insights to FMCG industry on using innovative strategies and modern technology to enhance supply chain visibility through integrated systems networks.
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Ene, Seval, and Nursel Öztürk. "Multi-objective green supply chain network optimization." Global Journal of Business, Economics and Management: Current Issues 7, no. 1 (April 12, 2017): 15. http://dx.doi.org/10.18844/gjbem.v7i1.1391.

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In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of the green supply chains. In multi-objective frame of the proposed model, total profit maximization and environmental impact minimization objectives are considered in order to obtain best network configuration for economic and environmental performance of the green chain. The proposed model is validated with numerical experiments. Obtained results showed that the model can be used as a strategic decision tool in problems with multi and conflicting objectives. Keywords: Green supply chain management, multi-objective modelling, network optimization;
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Ene, Seval, and Nursel Ozturk. "Multi-objective green supply chain network optimization." Global Journal of Business, Economics and Management: Current Issues 7, no. 1 (January 15, 2018): 15–24. http://dx.doi.org/10.18844/gjbem.v7i1.1875.

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In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of the green supply chains. In multi-objective frame of the proposed model, total profit maximization and environmental impact minimization objectives are considered in order to obtain best network configuration for economic and environmental performance of the green chain. The proposed model is validated with numerical experiments. Obtained results showed that the model can be used as a strategic decision tool in problems with multi and conflicting objectives. Keywords: green supply chain management, multi-objective modelling, network optimization.
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Küçükoğlu, Ilker, and Nursel Öztürk. "Multi-objective green supply chain network optimization." Global Journal of Business, Economics and Management: Current Issues 7, no. 1 (October 20, 2017): 15. http://dx.doi.org/10.18844/gjbem.v7i1.2561.

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Abstract In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of the green supply chains. In multi-objective frame of the proposed model, total profit maximization and environmental impact minimization objectives are considered in order to obtain best network configuration for economic and environmental performance of the green chain. The proposed model is validated with numerical experiments. Obtained results showed that the model can be used as a strategic decision tool in problems with multi and conflicting objectives. Keywords: green supply chain management, multi-objective modelling, network optimization.
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7

ASLAM, M. M. HARIS, KAMRAN RASHID, and TASHFEEN M. AZHAR. "ROLE OF OPTIMAL PRODUCTION PLAN AT THE FOCAL FIRM IN OPTIMIZATION OF THE SUPPLY CHAIN." Journal of Management and Research 1, no. 2 (November 29, 2019): 1–8. http://dx.doi.org/10.29145/jmr/12/0102001.

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Supply chain management and optimization is a critical aspect of modern enterprises and an expanding area of research. Modeling and optimization are the traditional tools of supply chain management. The techniques have been used by many companies for planning, manufacturing, and other decision areas in supply chains. Current study is motivated by the fact that optimization studies in supply chain management have mostly considered network optimization. Supply chain management however, requires alignment between the supply chain partners at the tactical level. As a first step towards achieving this goal, current study presents a model that incorporates the activity level planning at the focal firm in a supply chain. This paper presents a new mixed integer programming model that incorporates optimization of production planning at the focal firm while optimizing the strategic alignment of the supply chain entities. The model represents a four step, multi-echelon supply chain including supplier, warehouse, manufacturer, and retailer. The manufacturer in this network represents the focal firm. This model is an attempt to integrate the production planning decisions in the network optimization decisions.
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8

Kuzmina, Yana I., and Nikolay A. Zenkevich. "Supply chain finance solutions in joint working capital management." Contributions to Game Theory and Management 13 (2020): 252–95. http://dx.doi.org/10.21638/11701/spbu31.2020.14.

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The research is devoted to joint working capital management in supply chains aiming to improve joint working capital management methods through minimization of financial supply chain costs on working capital using Supply Chain Finance (SCF) Solutions. Though SCF applicability in Financial Supply Chain management has recently been studied to relieve access to capital sources, managerial perspective of SCF solutions is still uninvestigated as well as few other areas. The research suggests a managerial algorithm that contains four developed models: the model of Collaborative cash conversion cycle two models of SCF solutions and the model of Joint Working Capital optimization. The models imply using such SCF solutions as Factoring, Reverse Factoring and Inventory Financing to improve Joint Working Capital in terms of costs on it and liquidity of both supply chain members and entire chain, providing the optimal conditions of SCF solutions. Quantitative optimization with SCF solutions demonstrates on the cases of supply chains the improvement of financial position and liquidity of all chain members. The research has a potential to de applied in businesses since the algorithm represents a comprehensive managerial tool for Joint Working capital management in supply chains. It might be used to achieve optimal cash conversion cycle values for minimal supply chain costs on working capital constrained by liquidity and profitability target levels.
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9

Pan, Feng Shan, Chun Ming Ye, and Jiao Yang. "Inventory Optimization in Supply Chains." Applied Mechanics and Materials 66-68 (July 2011): 1305–10. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.1305.

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This paper reviews joint inventory management models and discusses its contribution to improve the overall supply chain competitiveness, after discussing suppliers and agents’ plan model respectively. Further, based on the background of Company F, and combined the modern scientific management theory of supply chain inventory with practical case, it improves the inventory management method. Finally, the conclusion of calculation is presented in detail.
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10

Jin, Maozhu, Hua Wang, Qian Zhang, and Yucheng Zeng. "Supply chain optimization based on chain management and mass customization." Information Systems and e-Business Management 18, no. 4 (January 3, 2019): 647–64. http://dx.doi.org/10.1007/s10257-018-0389-8.

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11

Gamboa Bernal, Janna Paola, Javier Arturo Orjuela Castro, and Carlos Eduardo Moreno Mantilla. "The Sustainable Supply Chain: Concepts, Optimization and Simulation Models, and Trends." Ingeniería 25, no. 3 (October 2, 2020): 355–77. http://dx.doi.org/10.14483/23448393.16926.

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Context: The environmental and social dimensions of performance are of great importance, given that they must be incorporated into strategic, tactical, and operational objectives in companies and supply chains to minimize negative impacts on the environment and society. Method: After reviewing the Scopus, Web of Science, and ScienceDirect databases for the topics of sustainability and supply chain management, a state of the art of green and sustainable supply chain management is presented, aiming to guide readers towards a synthesis of related concepts and future lines of research. Results: The reader is introduced to concepts and trends around the field of green and sustainable supply chain management to raise interest in new research and practices to guide the implementation of sustainability in organizations and their supply chains. Conclusions: Sustainable supply chain management still faces several academic and practical challenges in terms of implementation, performance measurement, and how models can capture a dynamic and uncertain social and environmental context. There are latent research issues such as management of the circular supply chain, applications in emerging economies, or the application of 4.0 technologies.
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12

Zenkevich, Nikolay, and Anastasiia Ivakina. "Working Capital Optimization in Supply Chains." Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438 12, no. 4 (December 28, 2018): 29–42. http://dx.doi.org/10.17323/j.jcfr.2073-0438.12.4.2018.29-42.

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This article is devoted to working capital management and its optimization on an inter-organizational level when supply chain members operate collaboratively. We aim to develop and validate a model of collaborative approach to working capital management in supply chains for cases of constrained liquidity and imposed return requirements using supply chain finance (factoring, reverse factoring and inventory financing). As such, we suggest a tool of working capital optimization using financial terms and cash flows verified on Russian supply chain data. Mathematical modeling is suggested as a method to modify an existing working capital management model on the grounds of collaborative financial cost minimization under industry specific liquidity constraints. These liquidity constraints are constructed in such a way as to eliminate possible violations from companies, because their violation will lead to the inverse relation between liquidity and rate of return. The results of the optimization provide recommended values for cash conversion cycle elements – days of inventories, days of accounts payable, days of accounts receivable – that guarantee the coordinating effect of collaborative working capital management. Calculation, further optimization and monitoring of cash conversion cycle values sustain effective working capital management on an inter-organizational level while meeting the liquidity and return levels for each company in a chain. The suggested model can be implemented for a day-to-day decision making process by companies oriented to stay competitive in the long run. Besides, the results obtained show the potential for further coordination among the key members of the supply chain in terms of aligning financial, product, and information flows. Despite the fact that the model provides a static solution to the problem of collaborative working capital management, it has potential for the further development of a dynamic algorithm. Future research should seek to investigate the possible imputation options for gained costs reduction values on the grounds of cooperative games with a coalition structure.
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13

Korneta, Piotr, Andrzej Krzyszkowski, and Magda Chmiel. "Performance measurement in supply chain." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 4 (April 30, 2018): 33–36. http://dx.doi.org/10.24136/atest.2018.017.

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The article presents performance measurement concept with its application possibility in supply chain management. A practical performance measurement model in supply chains was also presented. Stated model comprises three key areas – transportation, resources and information technology optimization. Against each of aforementioned areas exemplar performance indicators were set. Contemplated model, pursuant to insignificant adjustments implementation, aimed to consider local aspects of supply chain partners, can be applicable in polish companies, that constitute supply chains.
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14

Ghadially, Ganesh L., and Zoher H. "Optimization Of Supply Chain Management In Pharmaceutical Industry." Prestige International Journal of Management & IT - Sanchayan 02, no. 02 (December 15, 2013): 31–38. http://dx.doi.org/10.37922/pijmit.2013.v02i02.004.

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15

Yao, Baozhen, and Gang Chen. "Stochastic simulation and optimization in supply chain management." SIMULATION 94, no. 7 (April 23, 2018): 561–62. http://dx.doi.org/10.1177/0037549718772527.

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16

Mele, Fernando D., Antonio Espuña, and Luis Puigjaner. "Supply Chain Management through Dynamic Model Parameters Optimization." Industrial & Engineering Chemistry Research 45, no. 5 (March 2006): 1708–21. http://dx.doi.org/10.1021/ie050189t.

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17

Silva, C. A., J. M. C. Sousa, T. A. Runkler, and J. M. G. Sá da Costa. "Distributed supply chain management using ant colony optimization." European Journal of Operational Research 199, no. 2 (December 2009): 349–58. http://dx.doi.org/10.1016/j.ejor.2008.11.021.

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18

Li, Wen, Meng Yun Wu, and Qiang Mei. "The Research of Supply Chain Based on Fourth Party Logistics Optimization." Advanced Materials Research 461 (February 2012): 393–97. http://dx.doi.org/10.4028/www.scientific.net/amr.461.393.

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With the economic globalization and the rapid development of high-technology, the traditional competition between enterprises has gradually evolved into the competition between the supply chains. It is described the structure models of supply chain and problems existing in the supply chain management, focuses on the comparison between the fourth party logistics and the third party logistics, based on the excellent management ability of the fourth party logistics and its ability to plan and design the supply chain. It is studied how to optimize supply chain through the fourth party logistics in the paper.
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19

Shen, Bin. "Service Operations Optimization: Recent Development in Supply Chain Management." Mathematical Problems in Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/609061.

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Services are the key of success in operation management. Designing the effective strategies by optimization techniques is the fundamental and important condition for performance increase in service operations (SOs) management. In this paper, we mainly focus on investigating SOs optimization in the areas of supply chain management, which create the greatest business values. Specifically, we study the recent development of SOs optimization associated with supply chain by categorizing them into four different industries (i.e., e-commerce industry, consumer service industry, public sector, and fashion industry) and four various SOs features (i.e., advertising, channel coordination, pricing, and inventory). Moreover, we conduct the technical review on the stylish industries/topics and typical optimization models. The classical optimization approaches for SOs management in supply chain are presented. The managerial implications of SOs in supply chain are discussed.
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20

Paksoy, T., and E. Özceylan. "Environmentally conscious optimization of supply chain networks." Journal of the Operational Research Society 65, no. 6 (June 2014): 855–72. http://dx.doi.org/10.1057/jors.2012.95.

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21

Fleuren, Hein, Chris Goossens, Marco Hendriks, Marie-Christine Lombard, Ineke Meuffels, and John Poppelaars. "Supply Chain–Wide Optimization at TNT Express." Interfaces 43, no. 1 (February 2013): 5–20. http://dx.doi.org/10.1287/inte.1120.0655.

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22

Hirsch, Michael J., and Héctor Ortiz-Peña. "Information supply chain optimization with bandwidth limitations." International Transactions in Operational Research 24, no. 5 (February 9, 2017): 993–1022. http://dx.doi.org/10.1111/itor.12392.

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23

Xia, Liang Jie, Dao Zhi Zhao, and Bai Yun Yuan. "Carbon Efficient Supply Chain Management: Literature Review with Extensions." Applied Mechanics and Materials 291-294 (February 2013): 1407–12. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.1407.

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In low carbon economy, carbon emissions permit has become a kind of resource; in the market economy system, new economic relations between enterprises have appeared, these characteristics make enterprise operation cost structure and profiting pattern changed. The paper reviews the previous literature on carbon footprint, production optimization theory individual enterprise and supply chain operation management with carbon emissions constraints. Then the paper put forward four worth further research directions: Carbon emission cost distribution and scientific measurement in supply chain; supply chain operation based on consumer behavior in Low Carbon Economy Era; optimizing the allocation of carbon emissions permit in supply chain; Dynamic Multi-period operation optimization of carbon efficient supply chain.
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24

Mahesh Prabhu, R., G. Hema, Srilatha Chepure, and M. Nageswara Guptha. "Logistics Optimization in Supply Chain Management using Clustering Algorithms." Scalable Computing: Practice and Experience 21, no. 1 (March 19, 2020): 107–14. http://dx.doi.org/10.12694/scpe.v21i1.1628.

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Today’s business environment, survival and making profit in market are the prime requirement for any enterprise due to competitive environment. Innovation and staying updated are commonly identified two key parameters for achieving success and profit in business. Considerably supply chain management is also accountable for profit. As a measure to maximize the profit, supply chain process is to be streamlined and optimized. Appropriate grouping of various suppliers for the benefit of shipment cost reduction is proposed. Data relating to appropriate attributes of supplier logistics are collected. A methodology is proposed to optimize the supplier logistics using clustering algorithm. In the proposed methodology data preprocessing, clustering and validation process have been carried out. The Z-score normalization is used to normalize the data, which converts the data to uniform scales for improving the clustering performance. By employing Hierarchical and K-means clustering algorithms the supplier logistics are grouped and performance of each method is evaluated and presented. The supplier logistics data from different country is experimented. Outcome of this work can help the buyers to select the cost effective supplier for their business requirements.
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25

Sahay, Nihar, and Marianthi Ierapetritou. "Supply chain management using an optimization driven simulation approach." AIChE Journal 59, no. 12 (September 12, 2013): 4612–26. http://dx.doi.org/10.1002/aic.14226.

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26

Nikolopoulou, Amalia, and Marianthi G. Ierapetritou. "Hybrid simulation based optimization approach for supply chain management." Computers & Chemical Engineering 47 (December 2012): 183–93. http://dx.doi.org/10.1016/j.compchemeng.2012.06.045.

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27

Fiore, Mariantonietta, Rimantas Stašys, and Giustina Pellegrini. "AGRI-FOOD SUPPLY CHAIN OPTIMIZATION THROUGH THE SWOT ANALYSIS." Management Theory and Studies for Rural Business and Infrastructure Development 40, no. 1 (March 16, 2018): 28–36. http://dx.doi.org/10.15544/mts.2018.03.

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Over the last decade, agri-food chain has been changing rapidly in order to cope and face new global challenges. The key problem of the research is to find the possibilities to increase modern agri-food chain flexibility and adaptability to the needs and the requirements of all the stakeholders within the chain steps. The aim of the research is to create a conceptual agri-food supply chain optimization model and based on it define key characteristics for the selected agri-foods. A SWOT matrix has been developed in order to highlight the several aspects of four agri-food chains: wine, cereal, fruit and vegetables, and oil olive. The research results outline opportunities, strengths, weaknesses, and threats of a strategic management through the structure and characteristics of each chain by giving a deeper understanding.
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Kusumawardhani, Yuviani, Muhammad Syamsun, and Anggraini Sukmawati. "Model Optimasi dan Manajemen Risiko pada Saluran Distribusi Rantai Pasok Sayuran Dataran Tinggi Wilayah Sumatera." MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah 10, no. 1 (May 20, 2015): 34–44. http://dx.doi.org/10.29244/mikm.10.1.34-44.

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Agricultural sector, especially in highland vegetables are considered to have the potential and prospects to support diversification. It should have a comparative value advantage. Comparative advantages are obtained with supply chain management and risk management therefore needs a model of optimization. But often the common agricultural activities appear particularly at risk of supply chain distribution channel. Risk management is essential to minimize the risks and part of the supply chain management. The purpose of this study are (1) analyze how the supply chain flow in highland vegetable Agam District, West Sumatra and Karo District, North Sumatra, (2) knowing the model optimization and risk management in the vegetable supply chain distribution channels in Agam District, West Sumatra and Karo District Karo, North Sumatra, and (3) analyze how to minimize risk in the highland vegetable distribution channels in Agam District, West Sumatra and Karo District, North Sumatra. In analyzing the model optimization and risk management in the supply chain distribution channel highland vegetables in Agam District, West Sumatra and Karo District, North Sumatra used AHP (Analysis Hierarchy Process) and for risk minimization used the ISM (Intrepretive Structural Modeling). The results of the study will provide a model optimization and risk management in the supply chain distribution channel highland vegetables in order to have a comparative value.
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Turki, Sadok, and Nidhal Rezg. "Sustainable Supply Chain System Design and Optimization." Sustainability 11, no. 4 (February 23, 2019): 1179. http://dx.doi.org/10.3390/su11041179.

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Due to increasing concerns about the environment, potential economic benefits and legislation pressure; supply chain management has changed to focus on the environmental impacts of production and Earth resource preservation. Therefore, many managers are working hard on improving the sustainability of their supply chain systems. In this paper, we present the themes addressed, and the approaches used in this special issue to investigate the design and optimization of sustainable supply chain systems. Firstly, we introduce the topics under investigation, and then we present the published articles to discuss the benefits of sustainable supply chain systems in raising profits and improving ecology. This issue increases our knowledge of the sustainable supply chain systems design and sustainable strategies.
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Ulstein, Nina Linn, Marielle Christiansen, Roar Grønhaug, Nick Magnussen, and Marius M. Solomon. "Elkem Uses Optimization in Redesigning Its Supply Chain." Interfaces 36, no. 4 (August 2006): 314–25. http://dx.doi.org/10.1287/inte.1060.0221.

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31

Dang, Yibo, Manjeet Singh, and Theodore T. Allen. "Network Mode Optimization for the DHL Supply Chain." INFORMS Journal on Applied Analytics 51, no. 3 (May 2021): 179–99. http://dx.doi.org/10.1287/inte.2020.1046.

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DHL Supply Chain North America moves more than 20 million packages each year. DHL transportation planners perform routing and cost-deduction tasks for many business projects. We refer to the associated planning problem as the Vehicle Routing Problem with Time Regulations and Common Carriers (VRPTRCC). Unlike ordinary vehicle routing problems, which use only a single type of transportation mode, our VRPTRCC applications include make–buy decisions because some of the package deliveries are ultimately subcontracted to organizations other than DHL. Time regulation means that the problem considers not only delivery-time windows, but also layover and driving-time restrictions. Our developed Network Mode Optimization Tool (NMOT) is an ant-colony optimization (ACO)-based program that aids DHL Supply Chain transportation analysts in identifying cost savings in the ground logistic network. By using the NMOT, DHL and its customers have saved millions of dollars annually. Also, the NMOT is helping DHL to win new customers against bidding competitors and reducing estimation times from multiple weeks to hours. The results show an actual increase in profits compared with the previous process by more than 15% through a combination of new projects enabled and reduced current operational costs. The NMOT is implemented and evaluated by using data from ongoing projects.
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32

Rauch, Peter, and Stelian Alexandru Borz. "Reengineering the Romanian Timber Supply Chain from a Process Management Perspective." Croatian journal of forest engineering 41, no. 1 (November 5, 2019): 85–94. http://dx.doi.org/10.5552/crojfe.2020.610.

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Implementation of process management in the forest supply chains has a great potential for organizational and managerial improvement, at least by resource saving. Nevertheless, techniques of process management have been scarcely used to improve the forest supply chains in many parts of the world. In this study, for both Romanian state and private forests, the processes of the timber supply chain – from the harvest site to the forest-based industry plant – are mapped and analyzed. The main objectives of this work were to identify process optimization potentials and to redesign processes in order to improve the performance of the Romanian timber supply chain. Results show that particularly inter-organizational processes offer great saving potentials, mainly due to the existing multi-level hierarchy and multi-level control obligations. Therefore, introducing a web-based platform to enhance a collaborative workflow can considerably decrease the time needed for providing harvest sites or logs to customers via auctions. Further process optimization can be reached by the empowerment of lower level hierarchies facilitating the reduction of hierarchy levels of involved state organizations.
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33

Zhu, Liwei. "Optimization and Simulation for E-Commerce Supply Chain in the Internet of Things Environment." Complexity 2020 (October 18, 2020): 1–11. http://dx.doi.org/10.1155/2020/8821128.

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The supply chain optimization of e-commerce is the optimization of the integrated linear management model for e-commerce enterprises based on manufacturers, suppliers, warehouses, distribution centers, and channels. The application of Internet of Things (IoT) technology to the optimization of e-commerce supply chain can help e-commerce enterprises to monitor each product in real time and manage logistics system reasonably; thus, the circulation process of e-commerce product in the supply chain can be monitored and shared, and the product information at each stage of the supply chain can be analyzed and predicted, helping e-commerce companies to estimate the future trends or accident probability. On the analysis of summarizing and analyzing previous works, this article expounded the research status and significance of e-commerce supply chain optimization, elaborated the development background, current status, and future challenges of the IoT technology, introduced the methods and principles of the node distribution model and constraint parameter analysis of logistics supply chain, constructed the IoT-based e-commerce supply chain linear and nonlinear model including competition and risk-control modules, performed the design of IoT-based e-commerce supply chain optimization, and discussed the solutions to procurement robustness optimization and management process optimization. The final simulation analysis showed that the proposed optimization model can effectively predict e-commerce product information in each stage of the supply chain; the IoT-based e-commerce supply chain optimization can enable each node company in the supply chain to improve the quality of information transmission and reduce the risk of information asymmetry in the process of e-commerce exchanges and can quickly and easily respond to the sudden changes of market and environment, thereby promoting them to cooperate with each other for establishing a supply chain network structure with closer business relationships, smoother logistics transportation, more reasonable benefit sharing, and stronger market competitiveness.
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Luo, Ya, and Jian-jun Zhu. "Resilience Strategy Optimization for Large Aircraft Supply Chain Based on Probabilistic Language QFD." International Journal of Information Systems and Supply Chain Management 13, no. 4 (October 2020): 23–46. http://dx.doi.org/10.4018/ijisscm.2020100102.

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This paper proposes an optimization model of supply chain resilience strategy for large passenger aircraft. A quality function deployment (QFD) framework is conducted to analyze the resilience of the large passenger aircraft supply chain, and the key parameters are characterized based on the probabilistic linguistic term. Then based on the output of the QFD framework an optimization model of the resilience strategy considering the stochastic disturbance faced by the supply chain is constructed. Taking the supply chain for large aircraft cockpit control display module as an example to illustrate the application steps and feasibility of the model, the results demonstrate that change of supply chain management responsibilities, implementing hierarchical management of suppliers, seeking coordinated implementation of inventory management mode, and improving the pre-risk identification system, play prominent roles in enhancing supply chain resilience, and the combination of different strategies can indeed enhance the supply chain resilience under the budget constraint.
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35

Delfitriani, Delfitriani. "A Supply Chain Risk Management for Dadih Product by Pricing Optimization." SEAS (Sustainable Environment Agricultural Science) 2, no. 1 (May 21, 2018): 41. http://dx.doi.org/10.22225/seas.2.1.552.41-52.

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Risk mitigation by using risk sharing approach is a method to minimize risk on supply chain management. In this case, the pricing optimization is needed to maximize and to balance the profit of each stakeholder on its sphere. This paper focused on Dadih product supply chain risk modelling which has three objectives: (1) to identify, (2) to evaluate the risk of each sphere along Dadih product supply chain, and (3) to build a supply chain risk management model for Dadih product by pricing optimization. The model is started by risk identification which showed that there were 52 risks along the whole chain. Then these risks were evaluated by using risk index measurement which showed that the dairy farmer sphere has the highest risk proportion on the whole chain. Finally, the optimum prices were obtained by using risk sharing model which is generated from the result of risk evaluation and the result of stakeholder efficiency measurement by using DEA method. We also found that the prices fluctuation among the DMU became smoothly after the optimization which occurred as a result of risk distribution along the chain.
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36

Chen, Jie. "Research on Management Platform of Electronic Commerce Supply Chain Based on Programming Theory and XML Technology." Applied Mechanics and Materials 427-429 (September 2013): 2946–50. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2946.

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In the era of Information technology, supply chain management is as. It not only brings us a new management tool,but also is important to bring the updating and re-planning of management concepts, design and optimization of the business processes means. To the end, it is combined with a modern e-commerce IT environment and combined with the characteristics of e-commerce environment to optimize the structure of the supply chain management, as well as in comparative analysis on the difference with supply chain management under traditional business environment. Based on the e-commerce environment, how to optimize the mode of supply chain management is focused in this paper. By using XML technical support methods, the author optimized warehouse management, economies scale and so on. Finally, Based on the optimization of the supply chain management model, the author established the platform of supply chain management based on e-commerce environment, as well as described a detailed modeling and program design and developed the module of e-commerce supply chain management platform.
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Aelker, Judith, Verena Meister, Christoph Forster, Matthias Zapp, and Thomas Bauernhansl. "Opposites Attract: An Approach to Collaborative Supply Chain Management between Semiconductor and Automotive Companies." Industrial and Systems Engineering Review 1, no. 1 (April 7, 2013): 13–30. http://dx.doi.org/10.37266/iser.2013v1i1.pp13-30.

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This article illustrates the differences between the semiconductor and the automotive industry and the subsequent challenges to their common supply chain. The weak points at the interfaces between the two supply chains will systematically be identified and assessed. Based on this analysis, a toolkit for collaborative supply chain planning and execution between the automotive and the semiconductor industry is presented. A fit/gap analysis assesses the measures and their potential to solve the supply chain challenges in a systematic manner. The model is built upon existing supply chain management frameworks and defines a set of specific optimization measures for the problem at hand. These are designed to ensure a better alignment of planning and control processes between the automotive and the semiconductor industry.
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Fang, Yan Jun, and Meng Na Wu. "The Optimization Research on the Green Supply Chain Network." Applied Mechanics and Materials 397-400 (September 2013): 2631–35. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2631.

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The green supply chain is subject to the attention of environmental management and supply chain management. It is contained all levels of "green" requirements from suppliers to consumers and it is a complex system. The green supply chain network formation is important to its objective. In this paper, the green supply chain network containing four levels including suppliers, manufacturers, consumers and recyclable waste collectors is designed. A multi-objective optimization model that captures the trade-off among the revenues, costs and environment influence is proposed. Then it is give an example of numerical analysis and get agents decision.
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Jin, Maozhu, Lijun Song, Yanan Wang, and Yucheng Zeng. "Longitudinal cooperative robust optimization model for sustainable supply chain management." Chaos, Solitons & Fractals 116 (November 2018): 95–105. http://dx.doi.org/10.1016/j.chaos.2018.09.008.

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Chang, Jui-Fang, Chao-Jung Lai, Chia-Nan Wang, Ming-Hsien Hsueh, and Van Thanh Nguyen. "Fuzzy Optimization Model for Decision-Making in Supply Chain Management." Mathematics 9, no. 4 (February 4, 2021): 312. http://dx.doi.org/10.3390/math9040312.

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Choosing a supplier is a complex decision-making process that can reduce the total cost of production inputs and increase profits without increasing the price or sacrificing product quality. However, supplier selection processes usually involve multiple quantitative and qualitative criteria which increase the complexity of the problem and may decrease the accuracy and effectiveness of the process. Such complex decision-making problems can be supported by using multicriteria decision-making (MCDM) models. While there have been multiple MCDM models to support supplier selection processes in different industries and sectors, only a few are developed to support the supplier selection processes in the garment industry, especially under uncertain decision-making environment. This paper presents an integrated mathematical model under a fuzzy environment and applies it to the supplier selection process in the garment industry. In this research, the authors utilize the Buckley extension based fuzzy Analytical Hierarchical Process (FAHP) method in combination with linear normalization based fuzzy Grey Relational Analysis (F-GRA) method to develop a MCDM approach to the supplier selection process under a fuzzy environment. As a result, supplier 08 (SA08) is the optimal supplier. The contribution of this work is to propose an MCDM model for ranking potential suppliers in the garment industry under a fuzzy environment. The proposed approach can also be applied to support complex decision-making processes under a fuzzy environment in different industries.
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Durga Prasad, K. G., K. Venkata Subbaiah, and K. Narayana Rao. "Supply chain design through QFD-based optimization." Journal of Manufacturing Technology Management 25, no. 5 (May 27, 2014): 712–33. http://dx.doi.org/10.1108/jmtm-03-2012-0030.

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Purpose – The purpose of this paper is to demonstrate a methodology to design a supply chain with a view to achieve a strategic fit between competitive and supply chain strategies. Design/methodology/approach – Quality function deployment (QFD)-based optimization methodology is employed to design a supply chain for a product through aligning the competitive and supply chain strategies. Normal boundary intersection (NBI) method is adopted to obtain optimal weights of the supply chain design objectives. Weighted additive model is developed for multi-objective optimization. Utility-based attribute function, which structure the relationship between the elements of competitive and supply chain strategies is established. The utility functions and the information contained in the House of Quality (HOQ) of QFD are used to define the supply chain performance (SCP). Findings – SCP index is computed using the set of supply chain design objectives obtained by solving the weighted additive model. On the basis of SCP index, the supply chain activities are planned accordingly. An illustrative example is presented in this paper to describe the QFD-based optimization methodology for designing a supply chain. Originality/value – QFD-based optimization is a novel approach to design a supply chain with a focus on aligning competitive and supply chain strategies.
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Peng, Guo Jian, Guo Min Chen, Gang Chen, and Ze Hua Liu. "An Optimization Discusses of College Teaching Material Inventory Based on Supply Chain Management." Applied Mechanics and Materials 268-270 (December 2012): 2066–70. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.2066.

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This article investigate the structural form and process of college textbook supply chain in detail, and find out the matters of college textbook inventory under the Supply Chain Management on the base of Supply Chain Management, inventory control, inventory optimization and Economic batch theory. According to that problem, this article put forward a college teaching material inventory optimization model based on Fixed Order Quantity and fixed kickback rate, which is compared with the supply of university teaching characteristics and economic batch basic model, and to optimize inventory strategy, put forward a tentative plan of build an university teaching information sharing platform.
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Peng, Juan, and Zhili Zhou. "Working capital optimization in a supply chain perspective." European Journal of Operational Research 277, no. 3 (September 2019): 846–56. http://dx.doi.org/10.1016/j.ejor.2019.03.022.

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Sbai, Nouçaiba, and Abdelaziz Berrado. "A literature review on multi-echelon inventory management: the case of pharmaceutical supply chain." MATEC Web of Conferences 200 (2018): 00013. http://dx.doi.org/10.1051/matecconf/201820000013.

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Inventory management remains a key challenge in supply chain management. Many companies recognize the benefits of a good inventory management system. An effective inventory management helps reaching a high customer service level while dealing with demand variability. In a complex supply chain network where inventories are found across the entire system as raw materials or finished products, the need for an integrated approach for managing inventory had become crucial. Modelling the system as a multi-echelon inventory system allows to consider all the factors related to inventory optimization. On the other hand, the high criticality of the pharmaceutical products makes the need for a sophisticated supply chain inventory management essential. The implementation of the multi-echelon inventory management in such supply chains helps keeping the stock of pharmaceutical products available at the different installations. This paper provides an insight into the multi-echelon inventory management problem, especially in the pharmaceutical supply chain. A classification of several multi-echelon inventory systems according to a set of criteria is provided. A synthesis of multiple multi-echelon pharmaceutical supply chain problems is elaborated.
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Zhao, Wu Kui, Cheng Zhang, and Xiang Zhao. "Information System Construction of Spare Parts Supply Based on Supply Chain." Advanced Materials Research 765-767 (September 2013): 3245–48. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.3245.

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Equipment spare parts in equipment maintenance play an important role in the management, maintenance and repair of damaged equipment. Information system of spare parts supply is constructed based on supply chain. The generic configuration of supply chain is introduced, based on which the information system of spare parts supply is established. The proposed information system includes three levels. The lowest level is spare parts supply entity level which mainly includes all sorts of entities involved in spare parts supply activities. The middle level is spare parts data collecting level which including information resources integrating platform and spare parts information data collecting platform. The highest level is spare parts data releasing level which includes common information platform and management information platform. The optimization of spare parts supply system architecture is also proposed through analyzing the business process of spare parts. The proposed information system architecture provides an effective method and design thought for spare parts supply chain design and optimization.
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Jacyna-Gołda, Ilona, Mariusz Izdebski, Emilian Szczepański, and Paweł Gołda. "The assessment of supply chain effectiveness." Archives of Transport 45, no. 1 (March 30, 2018): 43–52. http://dx.doi.org/10.5604/01.3001.0012.0966.

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This paper presents the problem of the assessment of the supply chains in the context of their effectiveness. In this paper the concepts of a supply chain and effectiveness were characterized. The supply chain is a structure of entities which are connected with each other by the use of material and financial flows and functional, structural, technological, economic and information dependencies. Entities such as: suppliers, final recipients, entrepreneurs, warehouse facilities, supply centers, logistics operators, carriers, etc. perform material flows from suppliers to recipients. The concept of efficiency, in general terms, refers to economic rationality and means the relationship between the achieved or expected effects and the expenditures incurred. Additionally, indicators of measuring the effectiveness of the supply chain were described. In order to assess the effectiveness of the supply chain the decision model was developed. Optimization is crucial in decision support systems. The development of an appropriate model for mapping the behavior of a real object or system and formulating an optimization task is a necessary activity in effective management. This is even more important if we want to be competitive. Along with the development of decision support systems, as well as the development of systems for data acquisition on the system functioning, which feed optimization models in ever more detailed form, complex decision models are created that take into account many optimization criteria and require a large amount of data. It allows, however, to ensure the sustainable development of the system and simultaneous implementation of its basic tasks. The main aim of this paper is to present the stages and assumptions of the model for assessing the effectiveness of the supply chain. The main data input, constraints of the model, the criteria functions were determined.
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Zekić, Zdravko. "Menadžment opskrbnog lanca – suvremeni koncept razvoja kooperativne konkurentnosti." Oeconomica Jadertina 8, no. 1 (September 26, 2018): 42–50. http://dx.doi.org/10.15291/oec.2731.

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Dynamic technology development and fast-changing consumer preferences in a modern globalized market weaken the competitive potentials of individual companies for a competitive battle with organized strategic chains of advanced supply chain management. Process optimization requirements force independent companies to focus solely on those activities where they are most competitive and link their value chains to partners supply chains, from raw material to final consumer, in order to maximize efficiency and effectiveness of the process and achieve competitive advantage on the market. Supply Chain Management becomes a modern concept of corporate success management through the development of a new model of cooperative competitiveness. The already present future proves that companies are less competitive on the markets; the competitive rivalry is increasingly taking place between supply chains. The purpose of this paper is to point to the trends and bases of the Supply Chain Management concept development as a fundamental factor for success of modern business systems that gain competitive advantage in recent markets.
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48

Wu, Min. "Optimization of E-Commerce Supply Chain Management Process Based on Internet of Things Technology." Complexity 2021 (May 3, 2021): 1–12. http://dx.doi.org/10.1155/2021/5569386.

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The widespread use of Internet technology has changed people’s traditional life mode and created a new market transaction mode, namely, e-commerce platform. The Internet of Things can carry out real-time monitoring and management of any product in e-commerce and not only can realize information sharing in commercial activities but also can play a greater role in the protection of personal and enterprise information security. In this context, the efficiency and low cost of information flow, cash flow, logistics, and human resources among enterprises are particularly important. The Internet of Things technology is a means to effectively improve and optimize the operation mode of the supply chain. This paper analyzes the status of traditional supply chain management, which discusses the development of a supply chain management based on the Internet of Things technology. Finally, this paper analyzes how to realize the optimization strategy of e-commerce supply chain management based on the Internet of Things technology, which provides strong support for the informatization of e-commerce supply chain management. Through the application of the Internet of Things technology, small- and medium-sized enterprises can optimize the workflow and circulation links of the e-commerce supply chain management, enhance the matching level of product value and information transmission, improve the supply chain operation mechanism, and increase economic benefits.
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Liu, Si Wei, Hai Dong, and Wei Ling Zhao. "Optimization Model Based on the Fractal Theory in Supply Chain Management." Advanced Materials Research 694-697 (May 2013): 3554–57. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3554.

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In order to respond to rapidly changing manufacturing environment and market, supply chain must be flexible, adaptable and reconfigurable. The potentials of changes in organization structure caused by changes in businesses must be taken into consideration during structural modeling of the supply chain. These can be accomplished with a fractal-based architecture. A structure model with the properties of self-similarity, self-organization, self-optimization, goal-orientation, dynamics and vitality is proposed in this paper. Fractal-based nature of the supply chain can be analyzed and optimized with the model, which adapts quickly to the dynamical change of the market.
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ZHAO, JINSHI, and JIAZHEN HUO. "COORDINATION MECHANISM COMBINING SUPPLY CHAIN OPTIMIZATION AND RULE IN EXCHANGE." Asia-Pacific Journal of Operational Research 30, no. 05 (October 2013): 1350015. http://dx.doi.org/10.1142/s0217595913500152.

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There are two kinds of option pricing. The option pricing in exchange follows the Black–Scholes rule but does not consider the optimizing of supply chain. The traditional supply chain option contract can optimize supply chain but does not meet the Black–Scholes rule. We integrate the assumption of above two kinds of option pricing, and design a model to combine the Black–Scholes rule and traditional option contract of optimizing in a supplier-led supply chain. Our combined model can guide the enterprises to write or buy option considering both option pricing rule in financial market and the optimization of supply chain. Then we simulate and verify the model in Zinc industry of China. It is proved that our option pricing model is equalized and optimal to supply chain and consistent with Black–Scholes rule.
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